Radar-Based Target Tracking Using Deep Learning Approaches with Unscented Kalman Filter

Machine learning, a rapidly growing field, has attracted numerous researchers for its ability to automatically learn from and make predictions based on data. This manuscript presents an innovative approach to estimating the covariance matrix of noise in radar measurements for target tracking, result...

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Bibliografiske detaljer

Principais autores:	Uwigize Patrick, S. Koteswara Rao, B. Omkar Lakshmi Jagan, Hari Mohan Rai, Saurabh Agarwal, Wooguil Pak
Format:	Artigo
Sprog:	Inglês
Udgivet:	MDPI AG 2024-09-01
Serier:	Applied Sciences
Fag:	radar Kalman filter deep learning multilayer perceptron convolutional neural network long short-term memory
Online adgang:	https://www.mdpi.com/2076-3417/14/18/8332
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